6 citations · 11 across the 3 of their papers we have counts for
4 papers · 1 filter
Remaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction
Yuwen Qin, Ningbo Cai, Chen Gao +3
The precise estimate of remaining useful life (RUL) is vital for the prognostic analysis and predictive maintenance that can significantly reduce failure rate and maintenance costs…
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification
Yadong Zhang, Xin Chen
In the time-series analysis, the time series motifs and the order patterns in time series can reveal general temporal patterns and dynamic features. Triadic Motif Field (TMF) is a…
Triad State Space Construction for Chaotic Signal Classification with Deep Learning
Yadong Zhang, Xin Chen
Inspired by the well-known permutation entropy (PE), an effective image encoding scheme for chaotic time series, Triad State Space Construction (TSSC), is proposed. The TSSC image…
Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification
Yadong Zhang, Xin Chen
Time series motifs play an important role in the time series analysis. The motif-based time series clustering is used for the discovery of higher-order patterns or structures in ti…